Ching Ching Leow

2.6k citations
33 papers · 1.7k · h-index 18

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Angiogenesis and VEGF in Cancer 6
    • Wnt/β-catenin signaling in development and cancer 4
    • RNA Interference and Gene Delivery 3
    • Cancer Immunotherapy and Biomarkers 5
    • Peptidase Inhibition and Analysis 3

Ching Ching Leow

33 papers receiving 1.7k citations

Peers

Ching Ching Leow
Comparison fields: 5 of 92
  • Physiology 143
  • Oncology 723
  • Immunology 501
  • Cancer Research 197
  • Molecular Biology 887
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Citations per field
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Citations per year

Countries citing papers authored by Ching Ching Leow

Since Specialization
Citations

This map shows the geographic impact of Ching Ching Leow's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ching Ching Leow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching Ching Leow more than expected).

Fields of papers citing papers by Ching Ching Leow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching Ching Leow. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ching Ching Leow. The network helps show where Ching Ching Leow may publish in the future.

Co-authors

The 25 scholars most cited alongside Ching Ching Leow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ching Ching Leow Line = papers co-authored together Ching Ching Leow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016229
2 2014180
3 2015146
4 1997131
5 2005121
6 2021116
7 2004107
8 1998105
9 201497
10 202184
11 201273
12 200654
13 201343
14 200934
15 201431
16 201731
17 200523
18 200919
19 201616
20 200512

About Ching Ching Leow

Ching Ching Leow is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Immunology, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Peptidase Inhibition and Analysis (3 papers), Genetic factors in colorectal cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Physiology (143 citations), Oncology (723 citations), Immunology (501 citations), Cancer Research (197 citations) and Molecular Biology (887 citations). Ching Ching Leow has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include Wei‐Qiang Gao, Sean E. Egan, Benoit St‐Pierre, Nicholas M. Durham, Ioanna Keklikoglou, Michele De Palma, Nicolò Rigamonti, Ece Kadioglu, Robert E. Hollingsworth and Jonathan Rios‐Doria. Their work appears in journals such as Journal of Clinical Oncology, Molecular Cancer Therapeutics, Clinical Cancer Research, Cancer Research and Blood.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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